Get exposed to data science learning and domain expertise in R and python programming with the PG Program in Data Science online course.
PG Program in Data Science by RISE WPU in collaboration with KPMG is designed to provide students as well as working professionals with advanced data science learning. This is an 11-month online certification programme that involves a 2-month capstone project. The PG Program in Data Science certification exposes learners to domain expertise in machine learning, Natural Language Processing, Python and R programming with data visualization, and much more. It also enables them to develop and visualize data with the help of MySQL and Tableau, respectively.
The PG Program in Data Science certification syllabus comprises 11 modules, with an industry project and capstone project with a 4-week each. During the course, learners will experience peer learning through group projects. PG Program in Data Science classes includes 144 hours of live sessions with 32 case studies and 10+ sessions with industry experts. Upon successful completion of this PG Program in Data Science certification by RISE WPU in collaboration with KPMG, students will be able to find various job roles such as Data Scientists, Data Analysts, Analytics Managers, Data Architects, Statisticians, and Data Engineers.
The PG Program in Data Science certification fee is Rs 1,25,000 + GST. The institute also allows students to pay the course fee with a no-cost EMI option that starts from Rs 8,000/ month*.
PG Program in Data Science certification fee structure
Description
Amount in INR
Total Fee
Rs 1,25,000
EMI
Rs 8,000 per month*
Yes
RISE
PG Program in Data Science by RISE WPU in collaboration with KPMG is apt for
Interested candidates must hold a graduate degree in any discipline especially technology, SAS, Statistics, Management, Consulting, Statistics, SQL, etc. to enrol in the PG Data Science online course. Also, the age of the candidates must hover between 22-35, and they should be a resident of metro tier 1 or tier 2 cities.
Certification Qualifying Details
Upon successful completion of the PG Program in Data Science, students will receive a certificate in data science issued by RISE WPU in collaboration with KPMG in India & MIT-WPU.
After completing the PG Data Science certification course, participants will be able to:
Candidates willing to get enrolled in the PG Data Science training programme are required to follow these simple steps:
Step 1: Visit the official website - https://risewpu.com/pg-program-in-data-science/
Step 2: Click on the Enquiry option and fill in the required details
Step 3: Get counselling from the counsellors
Step 4: Complete the enrolment
Step 5: Start learning
RISE WPU offers various scholarships in different categories.
There is a comprehensive evaluation process that students will have to undertake through assignments, quizzes, and MCQs to track their progress. The process will also ensure that each learner is receiving appropriate support from academic and industry mentors.
Pursuing the PG Data Science certification benefits participants in several ways. It provides them with domain knowledge and expertise with internships and industry-relevant projects. The other PG Data Science certification benefits include online classroom sessions, peer learning, career assistance, and placement and internship support.
Yes, the PG Data Science certification course includes industry-oriented projects.
Yes, RISE WPU helps students with building an impactful resume while providing industry mentorship for interview preparation with subject-matter experts and the industry’s top entrepreneurs.
From graduates to professionals and enthusiasts, anyone can enroll in this PG in Data Science training programme.
You can access the PG Program in Data Science classes through live lectures and self-paced course materials such as e-books, videos, datasets, and case studies.
After successfully completing this online certification course, you will explore numerous career options in diverse fields. You can land a career as a data scientist, data architect, statistician, data analyst, and others.
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